Recent Russian military "excursions" all worsened life for the average Russian. Not that that's of any concern to Putin. Economically the Russian people suffer from his escapades. I can't see how the average Russian could possibly benefit. Source: https://t.co/skvcfDMDFm pic.twitter.com/f7T6zH7M3E
— Simon Kuestenmacher (@simongerman600) March 7, 2022
DiT: Self-supervised Pre-training for Document Image Transformer
— AK (@ak92501) March 7, 2022
abs: https://t.co/OUQ94iQ6dY
achieves sota results on downstream tasks, e.g. document image classification (91.11 → 92.69), document layout analysis (91.0 → 94.9) and table detection (94.23 → 96.55) pic.twitter.com/uZWAMGh71s
TableFormer: Table Structure Understanding with Transformers
— AK (@ak92501) March 3, 2022
abs: https://t.co/RiMdYmdstj pic.twitter.com/gapwX8EgKz
HyperPrompt: Prompt-based Task-Conditioning of Transformers
— AK (@ak92501) March 3, 2022
abs: https://t.co/OOQLIlBIv3
HyperPrompt achieves sota performance on SuperGLUE for T5 models up to XXL pic.twitter.com/Ic1XlqZiqO
How to store, use, and re-use @RStudio code snippets: https://t.co/40bSHxaSPE by @sharon000
— Kirk Borne (@KirkDBorne) March 1, 2022
—————#BigData #MachineLearning #AI #DataScientists #DataScience #Coding #Rstats #RStudio
———
Source for graphic: https://t.co/CBlOW6YJmG pic.twitter.com/9kweyrW31V
Introducing a new approach for training #ML models using noisy data that works by dynamically assigning importance weights to both individual instances and class labels, thus reducing the impact of noisy examples. Learn more about it at https://t.co/lKYl0fzeYD pic.twitter.com/ySCm1HAzKT
— Google AI (@GoogleAI) February 28, 2022
Testing is a tool for development velocity and reliability that will spring into action upon changes made by people who aren't you anymore, in situations you cannot predict in advance. Write your tests with this in mind. Defensively, and with great clarity.
— François Chollet (@fchollet) February 28, 2022
I am going through the RecSys 2020 tutorial by @NVIDIAAI and I found this interesting bit on Decision Trees 💡
— Radek Osmulski 🇺🇦 (@radekosmulski) February 26, 2022
Not that I don't trust @kaggle Grandmasters but wow, I never thought about this like that 😄 pic.twitter.com/TWXzlVAlnG
The reason Russia isn't aging as fast as one might expect is super sad though. Russian men literally drank themselves to death. In 1994 male life expectancy was 57. A crazy low figure! Things improved heaps since then but Russians still die a decade before people in the West. pic.twitter.com/eo6l9orBQz
— Simon Kuestenmacher (@simongerman600) February 26, 2022
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL
— AK (@ak92501) February 25, 2022
abs: https://t.co/3oojMrwFuv
github: https://t.co/rTA0BH3QmA pic.twitter.com/lc3Uey4bW0
This looks really exciting for time series work. The original project from @robjhyndman in R is an absolute classic, and to have it available in Python is huge.
— Jeremy Howard (@jeremyphoward) February 24, 2022
Even better - it's an #nbdev project which means it's got great docs and tests and is easy to contribute to. https://t.co/22o6D7EHFQ
Curious about recommender models?
— Radek Osmulski 🇺🇦 (@radekosmulski) February 24, 2022
Interested in endowing models from other domains with some of their superpowers?
Please join me on a whirlwind tour of 6 recsys architectures!
>> a thread 🧵 << pic.twitter.com/xaPtPKqTUF
